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The Ethereal
The Frontiers of Fairness in Machine Learning
October 20, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Alexandra Chouldechova, Aaron Roth
arXiv ID
1810.08810
Category
cs.LG: Machine Learning
Cross-listed
cs.DS,
cs.GT,
stat.ML
Citations
436
Venue
arXiv.org
Last Checked
3 months ago
Abstract
The last few years have seen an explosion of academic and popular interest in algorithmic fairness. Despite this interest and the volume and velocity of work that has been produced recently, the fundamental science of fairness in machine learning is still in a nascent state. In March 2018, we convened a group of experts as part of a CCC visioning workshop to assess the state of the field, and distill the most promising research directions going forward. This report summarizes the findings of that workshop. Along the way, it surveys recent theoretical work in the field and points towards promising directions for research.
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